基于熵权法和灰色关联度分析法的夏枯草质量评价 点击下载
| 论文标题： | 基于熵权法和灰色关联度分析法的夏枯草质量评价 |
| 英文标题： | |
| 中文摘要： | 目的 通过测定迷迭香酸、总黄酮、水分及水溶性浸出物的含量，同时结合熵权法和灰色关联度分析法评价夏枯草药材的质量。方法采用高效液相色谱法测定迷迭香酸含量；采用紫外分光光度法测定总黄酮含量；按照《中国药典》（四部）通则测定水分及水溶性浸出物含量；采用熵权法计算迷迭香酸等4个指标的权重，同时结合灰色关联度分析法计算各指标的相对关联度并对117批夏枯草的质量进行排序。结果迷迭香酸、总黄酮、水分及水溶性浸出物的含量分别为0.2371%～0.9430%、2.9236%～6.4007%、8.7367%～12.4463%、11.6388%～19.1662%；权重分别为0.2971、0.2775、0.1637、0.2616；相对关联度为0.1593～0.6163，以S24批样品的关联度最高（0.6163），其中江苏南京产夏枯草的相对关联度为0.5009～0.6163，排名靠前。结论以迷迭香酸、总黄酮、水分及水溶性浸出物含量为评价指标，采用熵权法和灰色关联度分析法可用于夏枯草的质量评价；不同批次夏枯草质量存在差异，以江苏南京产夏枯草质量最优。 |
| 英文摘要： | OBJECTIVE To evaluate the quality of Prunella vulgaris by entropy weight method combined with grey correlation degree analysis method by determining the contents of rosmarinic acid， total flavonoids， water and water-soluble extract. METHODS The content of rosmarinic acid was determined by HPLC； the content of total flavonoids was determined by UV spectrophotometry； the contents of water and water-soluble extract were determined according to the general rules of Chinese Pharmacopoeia （part Ⅳ）. The weight coefficients of four indexes as rosmarinic acid were calculated by entropy weight method， and the relative correlation degree of each index was analyzed by grey correlation degree analysis method， and the quality of 117 batches of P. vulgaris was ranked. RESULTS The contents of rosmarinic acid， total flavonoids， water and water-soluble extractive were 0.237 1%-0.943 0%， 2.923 6%-6.400 7%， 8.736 7%-12.446 3%， 11.638 8%-19.166 2%， respectively. The weight coefficients were 0.297 1， 0.277 5， 0.163 7 and 0.261 6， respectively. The relative correlation degrees were 0.159 3-0.616 3， and the correlation degree of S24 batch of samples was the highest （0.616 3）； that of P. vulgaris from Nanjing of Jiangsu Province ranged from 0.500 9 to 0.616 3， ranking the first. CONCLUSIONS Using the contents of rosmarinic acid， total flavonoids， water and water-soluble extract as indexes， entropy weight method and grey correlation degree analysis method can be used to evaluate the quality of P. vulgaris. The quality of different batches of P. vulgaris are different， and the quality of P. vulgaris produced in Nanjing of Jiangsu Province is the best. |
| 期刊： | 2022年第33卷第24期 |
| 作者： | 李国超，卢慧娟，姬生国 |
| 英文作者： | LI Guochao，LU Huijuan，JI Shengguo |
| 关键字： | 夏枯草；含量测定；熵权法；灰色关联度；质量评价 |
| KEYWORDS： | Prunella vulgaris； content determination； entropy weight method； grey correlation degree； quality evaluation |
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